Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]

Neonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life.  It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005,...

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Main Authors: Fyezah Jehan, Shiyam Sunder Tikmani, Shahira Shahid, Anita K.M. Zaidi, Nick Brown, Muhammad Imran Nisar
Format: Article
Language:English
Published: F1000 Research Ltd 2021-08-01
Series:Gates Open Research
Subjects:
Online Access:https://gatesopenresearch.org/articles/5-122/v1
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author Fyezah Jehan
Shiyam Sunder Tikmani
Shahira Shahid
Anita K.M. Zaidi
Nick Brown
Muhammad Imran Nisar
author_facet Fyezah Jehan
Shiyam Sunder Tikmani
Shahira Shahid
Anita K.M. Zaidi
Nick Brown
Muhammad Imran Nisar
author_sort Fyezah Jehan
collection DOAJ
description Neonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life.  It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005, a multi country trial called the Young Infant Clinical Signs Study (YICSS) was conducted in seven sites across three South-Asian (Bangladesh, India, and Pakistan), two African (Ghana, and South Africa), and one South American (Bolivia) country. The study aimed to develop a simplified algorithm to be used by primary healthcare workers for the identification of sick young infants needing prompt referral and treatment. The main study enrolled 8,889 young infants between the ages of 0-59 days old. This dataset contains observations on 2950 young infants aged 0-59 days from the Pakistan site. The data was collected between 2003-2004 with information on the most prevalent signs and symptoms. The data from this study was used to update the Integrated Management of Childhood Illness guidelines. The World Health Organisation (WHO) seven-sign algorithm has been used in other major community-based trials to study possible serious bacterial infection and its treatment regimens.
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spelling doaj.art-86ee6129e1b440b8b51f26ef516f98f02024-03-20T01:00:01ZengF1000 Research LtdGates Open Research2572-47542021-08-01514560Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]Fyezah Jehan0https://orcid.org/0000-0002-5874-4358Shiyam Sunder Tikmani1Shahira Shahid2https://orcid.org/0000-0003-0827-0518Anita K.M. Zaidi3Nick Brown4Muhammad Imran Nisar5https://orcid.org/0000-0002-2378-4720Department of Pediatrics and Child Health, Aga khan University, Karachi, PakistanDepartment of Community Health Sciences, Aga Khan University, Karachi, PakistanDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanUppsala University Hospital, Sweden, SwedenDepartment of Pediatrics and Child Health, Aga khan University, Karachi, PakistanNeonatal sepsis is the leading cause of child death globally with most of these deaths occurring in the first week of life.  It is of utmost public health importance that clinical signs predictive of severe illness and need for referral are identified early in the course of illness. From 2002-2005, a multi country trial called the Young Infant Clinical Signs Study (YICSS) was conducted in seven sites across three South-Asian (Bangladesh, India, and Pakistan), two African (Ghana, and South Africa), and one South American (Bolivia) country. The study aimed to develop a simplified algorithm to be used by primary healthcare workers for the identification of sick young infants needing prompt referral and treatment. The main study enrolled 8,889 young infants between the ages of 0-59 days old. This dataset contains observations on 2950 young infants aged 0-59 days from the Pakistan site. The data was collected between 2003-2004 with information on the most prevalent signs and symptoms. The data from this study was used to update the Integrated Management of Childhood Illness guidelines. The World Health Organisation (WHO) seven-sign algorithm has been used in other major community-based trials to study possible serious bacterial infection and its treatment regimens.https://gatesopenresearch.org/articles/5-122/v1young infants clinical signs severe illness requiring hospitalization Pakistan communityeng
spellingShingle Fyezah Jehan
Shiyam Sunder Tikmani
Shahira Shahid
Anita K.M. Zaidi
Nick Brown
Muhammad Imran Nisar
Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
Gates Open Research
young infants
clinical signs
severe illness requiring hospitalization
Pakistan
community
eng
title Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
title_full Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
title_fullStr Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
title_full_unstemmed Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
title_short Young infant clinical signs study­­, Pakistan: a data note [version 1; peer review: 2 approved]
title_sort young infant clinical signs study pakistan a data note version 1 peer review 2 approved
topic young infants
clinical signs
severe illness requiring hospitalization
Pakistan
community
eng
url https://gatesopenresearch.org/articles/5-122/v1
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AT shahirashahid younginfantclinicalsignsstudypakistanadatanoteversion1peerreview2approved
AT anitakmzaidi younginfantclinicalsignsstudypakistanadatanoteversion1peerreview2approved
AT nickbrown younginfantclinicalsignsstudypakistanadatanoteversion1peerreview2approved
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